Conditional variance estimation using stochastic learning algorithm.
Young-Bin ChoDae-Gab GweonPublished in: J. Intell. Fuzzy Syst. (1999)
Keyphrases
- learning algorithm
- boltzmann machines
- monte carlo
- machine learning
- training data
- estimation accuracy
- active learning
- correlation coefficient
- selection criterion
- supervised learning
- machine learning algorithms
- standard deviation
- density estimation
- robust estimation
- generalization ability
- maximum a posteriori probability
- random field model
- stochastic optimization
- rbf network
- estimation algorithm
- estimation error
- learning tasks
- reinforcement learning